We identify biomarkers, drug targets and more, using machine learning, large language models, other AI models, biostatistics and computational biology.
Our experts can support your project with:
- molecular imaging analysis;
- de novo assembly of sequencing data;
- targeted, exome and whole-genome sequencing analysis;
- comparative genome analysis;
- metagenomic data analysis;
- pathway and transcriptional regulatory network analysis (functional analysis);
- omics analysis;
- data visualization;
- gene prediction and annotation.
Fostering precision medicine through multi-omics data integration
The challenge
Translating multi-omics big data into functional insights to allow prevention, early detection and prediction of diseases, monitor their progression, and design personalized treatments.
Our solution
We conduct powerful data integration through our innovative multiomics analysis expertise. Able to deal with large and heterogeneous multiomics datasets, our teams start by defining the appropriate data integration strategy. They then build integrative statistical models to analyse and interpret the data. Lastly, they conduct pathway analysis to facilitate insights on the molecular mechanisms at play. For instance, in the EU-funded Rhapsody project, we integrated lipidomics, transcriptomics and clinical data to identify potential biomarkers of Type 2 diabetes.
Environmental metabolic foot printing to characterize the impact of (bio)pesticides
The challenge
Estimate the resilience time of exogenous metabolites in soil treated with a pesticide, synthetic or derived from natural materials.
Our solution
We perform model kinetics of liquid chromatography-mass spectrometry (LC-MS) features from untargeted metabolomics data to predict the dissipation of those coming from the treatment. For instance, we collaborate with the University of Perpignan (France) to follow the fate of a soil treated with a plant extract.
Whole genome sequencing analysis to characterize fungal pathogens in different environments
The challenge
Identify the genomic heterogeneity among multiple micro-organisms.
Our solution
We perform de novo genome assembly, gene annotation, and variant detection on different isolates of fungal species with whole genome sequencing data. We are collaborating with the Lausanne University Hospital (CHUV) for studies on Candida species.
